{"id":1088,"date":"2010-11-02T11:30:10","date_gmt":"2010-11-02T11:30:10","guid":{"rendered":"http:\/\/hgpu.org\/?p=1088"},"modified":"2010-11-02T11:30:10","modified_gmt":"2010-11-02T11:30:10","slug":"graphics-processing-unit-implementation-of-lattice-boltzmann-models-for-flowing-soft-systems","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=1088","title":{"rendered":"Graphics processing unit implementation of lattice Boltzmann models for flowing soft systems"},"content":{"rendered":"<p>A graphic processing unit (GPU) implementation of the multicomponent lattice Boltzmann equation with multirange interactions for soft-glassy materials [\u201cglassy\u201d lattice Boltzmann (LB)] is presented. Performance measurements for flows under shear indicate a GPU\/CPU speed up in excess of 10 for 1024 2 grids. Such significant speed up permits to carry out multimillion time-steps simulations of 1024 2 grids within tens of hours of GPU time, thereby considerably expanding the scope of the glassy LB toward the investigation of long-time relaxation properties of soft-flowing glassy materials.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A graphic processing unit (GPU) implementation of the multicomponent lattice Boltzmann equation with multirange interactions for soft-glassy materials [\u201cglassy\u201d lattice Boltzmann (LB)] is presented. Performance measurements for flows under shear indicate a GPU\/CPU speed up in excess of 10 for 1024 2 grids. Such significant speed up permits to carry out multimillion time-steps simulations of [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[11,3],"tags":[29,1782,108],"class_list":["post-1088","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-biophysics","tag-computer-science","tag-lattice-boltzmann-model"],"views":1909,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/1088","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1088"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/1088\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1088"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1088"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1088"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}